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Journal ArticleDOI

Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers

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TLDR
In this article, the authors demonstrate the potential benefits of crowdsourcing last mile delivery by exploiting a social network of the customers and show that using friends in social networks to assist in last-mile delivery greatly reduces delivery costs and total emissions while ensuring speedy and reliable delivery.
Abstract
This paper demonstrates the potential benefits of crowdsourcing last mile delivery by exploiting a social network of the customers. The presented models and analysis are informed by the results of a survey to gauge people’s attitudes toward engaging in social network-reliant package delivery to and by friends or acquaintances. It is found that using friends in a social network to assist in last mile delivery greatly reduces delivery costs and total emissions while ensuring speedy and reliable delivery. The proposed new delivery method also mitigates the privacy concerns and not-at-home syndrome that widely exist in last mile delivery.

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Journal ArticleDOI

Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment

TL;DR: The results show that the express companies are willing to pay 30 yuan for each car participating in the crowdshipping activities, and there are considerable numbers of car owners to support this crowdsh shipping activity, and this crowdShipping activity could bring positive impacts on environment as well as corporate economics.
Proceedings ArticleDOI

Last Mile Delivery: Modes, Efficiencies, Sustainability, and Trends

TL;DR: In this paper, the authors proposed the trends of technologies, such as, internet of things, smart phone and its applications, social network, and drone which impact to the last mile delivery.
Journal ArticleDOI

Crowd-shipping delivery performance from bidding to delivering

TL;DR: The results reveal that performance loss occurs non-uniformly in the platform process, with a more significant loss in delivery rates related to the digital posting and bidding, and a more substantial loss of delivery speed performance occurs in converting from digital to real delivery in negotiating the pickup arrangement.
Journal ArticleDOI

Push and Pull Factors in Adopting a Crowdsourced Delivery System

TL;DR: In this paper, the push and pull factors affecting the adoption of crowdsourced delivery or crowd-shipping systems using a structural equation method were explored using an online survey distributed among 800 individuals in June 2016 in the United States.
Journal ArticleDOI

An integrated crowdshipping framework for green last mile delivery

TL;DR: In this article , an integrated framework for the assignment of last mile delivery (LMD) to a set of registered crowdshippers is proposed, which is composed of trajectory analytics for profiling the crowd to identify the list of suitable crowdsharers and optimisation module that aims at maximising platform's profitability.
References
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Journal ArticleDOI

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Journal ArticleDOI

The Evolution of Social Commerce: The People, Management, Technology, and Information Dimensions

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Journal ArticleDOI

Friendship Networks Through Time: An Actor-Oriented Dynamic Statistical Network Model

TL;DR: A class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular, are proposed, developed within a rational choice framework based on social psychological and sociological theories about friendship.
Journal ArticleDOI

Solving the last mile issue: reception box or delivery box?

TL;DR: In this paper, two main approaches to unattended delivery are the reception box concept and the delivery box concept, and the authors assesses these two different concepts using simulation and compare the operational cost savings are compared to the respective investments required to calculate the payback period.
Journal ArticleDOI

Paradoxes of openness and distinction in the sharing economy

TL;DR: In this article, the authors study four sites from the sharing economy to analyze how class and other forms of inequality operate within this type of economic arrangement and find considerable evidence of distinguishing practices and the deployment of cultural capital, as understood by Bourdieusian theory.
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